Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
| Version: | 3.2.5 |
| Depends: | R (≥ 3.4) |
| Imports: | vctrs (≥ 0.2.4),dplyr (≥ 0.8.5),forcats,scales,stringr,rlang (≥ 0.4.5),purrr,magrittr,tidyselect,tibble (≥3.0.0), stats,RJSONIO,XML,ggplot2,ggpolypath,reshape,glmnet,FactoMineR,princurve,nloptr,sqldf,randomcoloR,kknn,e1071,gbm,randomForest,rpart,neuralnet,umap,xtable,plotly,ggrepel |
| Suggests: | testthat (≥ 2.1.0),knitr,rmarkdown |
| Published: | 2025-09-24 |
| DOI: | 10.32614/CRAN.package.RSDA |
| Author: | Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph] |
| Maintainer: | Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://oldemarrodriguez.com/ |
| NeedsCompilation: | no |
| CRAN checks: | RSDA results |